impact of UHI on LLJ

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UHI part II
Fig 1, Domain config: png; eps
Fig 2, TSK spatial: png; eps
Fig 3, time-height WSP: png; eps
Fig 4, TS LLJ strength, UHII: png; eps
Fig 5, Mean diurnal UHII: png; eps
Fig 6, UHIvsCooling: png; eps (combine: png; eps )
(O3vsCooling:png; eps; UHIvsCooling png; eps)
Fig 7 : time-height and cooling png; eps (png; eps)
Fig 8, UHIvsLLJ scatter: a, png; eps b, png; eps c, png; eps
with frontpng; eps
Fig 9, time-height overlay UHI TKE: png; eps
Fig 10, UHI profile png; eps WSP profile png; eps
Fig 11, T profiles: png; eps
text fig
Sensitivity of simulated UHI to different PBL schemes

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


Univ. of Oklahoma, CAPS
Xiao-Ming Hu

Instruction: Once choose Variables on the left panel, don't forget to click "View the plot"
Speed: Animation toggle
WRF Version
PBL scheme
Initiation Time

University of Oklahoma, CAPS
Xiaoming Hu

URBPARM.TBL parameters used in single-layer UCM
wrfout_d05_LU.png USGS 1994 around Dallas
NLCD 2006 Urban around Dallas
4Domains 1st test around Dallas
4Domains 2nd test around Dallas
5Domains focus on Dallas

Hu2013JAMC:Hu, X.-M., P. M. Klein, M. Xue, J. K. Lundquist, F. Zhang, and Y. Qi (2013), Impact of low-level jets on the nocturnal urban heat island intensity in Oklahoma City. J. Appl. Meteor. Climatol., doi:10.1175/JAMC-D-12-0256.1.
JU2003-LLJ_UHI_text_final; JU2003-LLJ_UHI_Figure_final
JU2003-LLJ_UHI_text_xhu3; JU2003-LLJ_UHI_Figure_xhu3
Figure 1:Domain config NLCD png; eps (USGSpng; eps)
Figure 2:MODIS LS Temp png; eps
Figure 3:Corr LLJ-UHII png; eps (BW: png; eps)
Figure 4:TS_UHII png; eps ( png; eps BW: png; eps)
Figure 5:Theta profiles png; eps (old color: png; eps BW: png; eps; pdf)
Figure 6: weather map docx; pdf (BW pdf)
Figure 7:time-height WSP NARR_UCM, addbais png; eps ; obsinterpolate png;|| nobias png; eps (FNLnoUCMpng; eps)
Figure 8:WSP overlay NARR_UCM png; eps (full domainpng; eps FNLnoUCM png; eps)
Figure 9:T2 overlay NARR png; eps (Full domainpng; eps FNLpng; eps)
Figure 10:WSPDlayer11 NARR png; eps (FNLpng; eps)
Figure 11: TS U*&TKE add profileRasterpng; eps|| only TS png; eps (TS U*png; eps BW: png; eps)
Figure 12:Inversion overlay NARR png; eps (full domain png; eps FNL png; eps)
Figure 13:Theta profile NARR_UCM png; eps (FNLnoUCM png; eps BW: png; eps)
Figure 14:WSP profile NARR png; eps (FNL png; eps BW: png; eps)
Figure 15:TS UHI and PBLH NARR_UCM png; eps (FNLnoUCM png; eps BW: png; eps)
Figure 16: MODIS LST vs. WRF TSK: png; eps
Figure 17:Corr inversion-UHII png; eps (BW: png; eps)

Figure 7:time-height WSP NARR_UCM, addbais png;
Figure 14:WSP profile NARR hour33 png; hour34 png;



ImpactYSUupdatesonWindO3: Hu, X.-M., P. M. Klein, and M. Xue (2013), Evaluation of the updated YSU Planetary Boundary Layer Scheme within WRF for Wind Resource and Air Quality Assessments, J. Geophys. Res., 118, doi:10.1002/jgrd.50823.
2nd submission xhu2 text; fig
xhu1 text; fig
History: xhu3 text; fig (xhu2 text; fig xhu1 text; fig); fig_text_together_xhu1 old
Figure 1: png; eps (1st sub png; eps)
Figure 2, domain config: png; eps
Figure 3, 10m WSP overlay: png; eps (8simpng; eps 1st sub png; eps )
Figure 4, TS of 10m WSP: png; eps (8simpng; eps png; eps)
Figure 5, T2 overlay: png; eps (8simpng; eps Unit not consistpng; eps) (1st subpng; eps)
Figure 6, TS of T2: png; eps (8simpng; eps 1st sub:png; eps)
Figure 7 assemble time-height and TS png; eps (8Simpng; eps 1st subpng; eps)
(time-height WSP: png; eps ; TS of LLJ strength: png; eps)
Figure 8, WSP profile: png; eps (8Simpng; eps 1st sub png; eps)
Figure 9, k profile: png; eps (8simpng; eps 1st sub png; eps)
Figure 10, T profile: png; eps (8simpng; eps 1st sub png; eps)
Figure 11, spatial HFX png; eps (png; eps 1st sub png; eps)
Figure 12, WSP profiles at 3 sites png; eps (png; eps)
Figure 13, TS shear exponent: png; eps (8Simpng; eps 1st subpng; eps)
Figure 14, TS O3: png; eps (8Simpng; eps 1st sub png; eps)
Figure 15, O3 profile: png; eps (8simpng; eps 1st sub png; eps)

Obsolete Figure 10, spatial PBLH png; eps
Obsolete Figure 13, spatial WSP @ layer 7 png; eps


Klein, Hu, & Xue (2014, BLM) :Klein, P. M., X.-M. Hu, M. Xue (2014), Mixing processes in the nocturnal atmospheric boundary layer and their impacts on urban ozone concentrations, Bound.-layer meteor., doi:10.1007/s10546-013-9864-4.
Figure 2 jpg ; eps
Figure 6:time-height WSP png; eps ; (with Legendpng; eps ; CDT png; eps ; CST png; eps) ; ncl code
Figure 7:overlay O3&WSP: png; eps
Figure 8:O3&WSP profiles: CDT png; eps ; (CST png; eps ; ncl code)
Figure 9:time-height O3 with change rt: png; eps
Figure 10: contributions: png; eps

Hu_WRFchemUCM_JU2003 assembled using Latex
( Figure 9:overlay O3 png; eps ; ncl code Figure 10:O3&WSP at upper layer png; eps ; ncl code)

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Coupling Strength (Klein, Hu et al., 2016, BLM) : Klein, P., X.-M. Hu, A. Shapiro, M. Xue (2016), Linkages between Boundary-Layer Structure and the Development of Nocturnal Low-Level Jets in Central Oklahoma, Bound.-layer meteor., DOI:10.1007/s10546-015-0097-6
txt; Fig; (Historyxhu1 txt+Fig; Fig);
Fig 1, domain png; eps
Fig 2, time-height WSPD png; eps;
Fig 3, Scatter png; eps;
Fig 4, inversionVSLLJstrength png; eps
Fig 5, 2 episodes png; eps
Fig 6, weather map pdf
Fig 7, ARM Radar 2 episodes png; eps
Fig 8, ARM tower 2 episodes png; eps
Fig 9, Inversion 2 episodes png; eps
Fig 10, YSU time-height WSP and K png; eps
Fig 11, YSU TS WSP max png; eps
Fig 12, YSU profilespng; eps
Fig 13, Sensitivity png; eps
Fig addition, 2 episodes simulation
BouLac time-height png; eps
profiles png; eps
YSU sensitivity

The Terra overpass time is around 10:30am (local solar time) in its descending mode and 10:30pm in ascending mode. The Aqua overpass time is around 1:30pm in ascending mode and 1:30am in descending mode. (Wan et al., 2004; IJRS)
MODIS Level-3 Hierarchical Data Format (HDF) product files have standardized filenames. The prefix MOD is reserved for files containing data collected from the Terra (AM) platform and MYD is reserved for files containing data collected from the Aqua (PM overpass) platform.
all times are UTC time, not local time
nice discription of MOD11C1 Daily CMG LST

NARR: through a better representation of the terrain (heights, vegetation, soil type). from
How are the NARR topography and land/water masks created? A: The NARR topography and land/water masks are created in the same way as those of the then operational Eta model, following the procedure as follows. Each model grid box is split into 2 x 2 subboxes, and terrain elevation read off terrain data (USGS 30 s data where available), collecting values and percentages of water that happen to fall within each of the subboxes. Using these, mean subbox elevation and percentage of water is obtained. Subsequently, for each grid box, mean and silhouette elevations are calculated. Silhouette elevation is calculated by looking at each pair of subboxes as seen from two directions perpendicular to sides of the box, amounting to four pairs total, each time taking the higher value, and subsequently averaging these four higher values. Following this, nine-point Laplacian of the mean orography is calculated for every box. Where the Laplacian is positive, mean is used for the box elevation. Where it is negative, silhouette is used (Mesinger, Bull. Amer. Meteor. Soc., 1996, p. 2646-2647). Subsequently, an effort is made to minimize closing up of significant valleys and mountain passes that may have happened within the silhouette part of the so obtained topography. This is done by looking for points for which in at least in one of the four possible directions the average elevation of three nearest neighbors in that direction, centered on the point considered, is less than both the average elevation of the three nearest points on one side of these three points, and also of the three nearest neighbors on the other side of the three points. If so, irrespective of the sign of the Laplacian, the mean elevation is used for that point. Points are declared water if more than 50 percent of their area is covered by water according to the topography data read. This is followed by rounding off to reference interface elevation, and elimination of "windless" points created as a result. Land points that have winds at all four of their vertices blocked are raised as needed to reach the lowest unblocked wind. Isolated water points, or water points that have only one of their nearest neighbors water and are at sea level, are also raised to reach the lowest wind, and are declared land. Otherwise, land is removed at one of the water point's four corners, to free one of the blocked winds. The corner chosen for land removal is one that has the smallest three-point averaged elevation. Elevation of water points above sea level is checked for presence of neighboring water points with a different elevation, and, if so, elevation of all neighboring water points is made equal. from
Vertical Resolution:
(0) 15.75647
(1) 55.22202
(2) 118.6464
(3) 198.3304
(4) 278.5249
(5) 359.2362
(6) 440.4717
(7) 522.252
(8) 604.6293
(9) 687.6498
(10) 792.4575
(11) 919.4921
(12) 1048.079
(13) 1178.26
(14) 1354.782
(15) 1579.283
(16) 1808.799
(17) 2043.591
(18) 2308.62
(19) 2605.571
(20) 2911.659
(21) 3227.754
(22) 3554.76
(23) 3893.519
(24) 4244.958
(25) 4610.094
(26) 5023.239
(27) 5489.027
(28) 5978.997
(29) 6495.307
(30) 7082.846
(31) 7751.693
(32) 8472.871
(33) 9256.448
(34) 10056.09
(35) 10811.68
(36) 11574.68
(37) 12337.07
(38) 13103.79
(39) 13863.4
(40) 14625.54
(41) 15374.68
(42) 15972.06